Navigation

MZM2 - Selected topics of numerical analysis

Course specification
Course titleSelected topics of numerical analysis
AcronymMZM2
Study programme
Module
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB5.0Status
    ConditionCredits from courses equivalent to Mathematics I and Mathematics IIОблик условљености
    The goalThe goal of this course is to teach students basic concepts and theoroms from the following areas: Number systems and errors, Numerical solution of nonlinear equations, Interpolation, Numerical differentiation and integration, Numerical solution of ordinary differential equations, Numerical solution of partial differential equations
    The outcomeThis course provides knowledge that can be applied to other natural science and technical-technological courses taught in the department. The course is intended to enable students to successfully apply the acquired mathematical knowledge in solving techical and technological problems.
    Contents
    Contents of lecturesApproximate numbers and errors-sources of error, absolute and relative error, aproximate calculations of function values. ; Numerical solution of nonlinear equations-bisection method, Newton method, iterative methods, iterative methods for systems of the equations. ; Interpolation-the interpolation formula of Lagrange, Newton's interpolation formula, Hermite interpolation, Stirling interpolation Bessel interpolation. ; Numerical differentiation and integration-trapeziodal rule, Simpson's rule. ; Numerical solution of ordinary differential equations-Euler and Newton method, Runge-Kutta methods, Adam-Moulton methods.Numerical solution of partial differential equations-the finite difference method
    Contents of exercisesSolving examples and tasks that illustrate various concepts presented in the theoretical contens as well as their mutual relations. Moreover, the practical examples give an opportunity to exercise applying acquired theoretical knowledge to problems of natural and technical-technological sciences.
    Literature
    1. K. Zarowski, An introduction to numerical analysis for electrical and computer engineers, John Willey and sons, 2004.
    2. .
    3. .
    Number of hours per week during the semester/trimester/year
    LecturesExercisesOTCStudy and ResearchOther classes
    220
    Methods of teachingLectures
    Knowledge score (maximum points 100)
    Pre obligationsPointsFinal examPoints
    Activites during lecturesTest paper
    Practical lessonsOral examination60
    Projects
    Colloquia40
    Seminars